About This Course
R for Data Science is a comprehensive course that leverages the popular R-syntax for mastering the techniques of data exploration, manipulation and visualization. You’ll learn the basics for using R vectors for creating lists, matrices, arrays, and data frames. Next, you’ll learn how to deploy conditional statements, functions, classes, and debugging. You’ll discover ways to read and write with R for creating transformative visualizations using ggplot2. By the end of this course, you’ll gain the confidence to tackle complex data challenges and write your own R scripts.
Skills You’ll Get
- Importing data using readr, heaven and dbplyr packages
- Cleaning data using features like na.rm, filter(), and mutate ()
- Reshaping and summarizing data with group-by()
- Utilizing tidyverse suite for ‘tidy data’
- Using R’s built-in features for statistical analysis
- Ability to use the ggplot2 package for visualization and customisation
- Exploring Git for vision control and collaborative projects
- Creating reproducible reports with R markdown